Clinical Images in Dermatology Manuscripts - A Study of Journal Submission Guidelines

BACKGROUND

Images are an important element of any scientific publication, more so for a very visual specialty such as dermatology. Dermatology journals generally include detailed instructions related to images submitted with the manuscripts, including technical aspects such as file format, resolution, and editing. We aimed to review and critically analyze instructions for images in the top 50 dermatology journals [as per the latest Clarivate journal citation report (JCR) ranking].

METHODS

The top 50 journals as per the latest Clarivate JCR were included in the study. Instructions for images were reviewed for each of the journals. The main points analyzed included file type, resolution, size limits, editing limits, support for post-processing of images and details regarding patient consent.

RESULTS

Only half the journals (25) had clear, detailed, and specific instructions for the images. Only one journal specifically mentioned pixels per inch (PPI) as the descriptive term, and the remaining used dots per inch (DPI), whereas 6 did not mention either. Twenty-three journals did not mention the recommended size of the image. The most common minimum resolution mentioned was 300 DPI (41 journals). Although 24 of the journals mentioned editing limits, none of the journals elaborated on image plagiarism in the instructions. Twenty-one of the fifty did not mention a clear policy on patient consent.

CONCLUSIONS

Image submission guidelines for dermatology journals need to be made more elaborate yet easier to understand. Developing a consensus, followed by standardization of these submission guidelines, can help both authors and journals.

Evaluation of High-Efficiency Image Coding algorithm for dermatology images in teledermatology

BACKGROUND

Currently, teledermatology assumes a progressively greater role in the modern healthcare system, especially in consultation, diagnosis, or examining lesions and skin cancers. One of the major challenges facing teledermatology systems is determining the optimal image compression method to efficiently reduce the space needed for electronic storage and data transmission.

OBJECTIVE

To the objective and subjective assessment of HEIC compression method on dermatological color images and benchmarking the performance of High-Efficiency Image Coding (HEIC) with different algorithms to a feasibility study of the method for teledermatology.

METHODS

Twenty-five clinical and five skin histopathology images were taken in department of dermatology, Imam Reza Hospital, Mashhad, Iran. For each image, a set of 24 compressed images with different compression rates, which is composed of eight JPEG, eight JPEG2000, and eight HEIC images, has been prepared. Compressed and original images were shown simultaneously to three dermatologists and one dermatopathologist with different experiences. Each dermatologist scored quality and suitability of compressed images for diagnostic, as well as educational/scientific purposes. An objective evaluation was performed by calculating the mean "distance" of pixel colors and peak signal-to-noise ratio (PSNR).

RESULTS

All compression rates for HEIC were objectively better than JPEG and JPEG2000, particularly at PSNR. Moreover, mean "color distance" per pixel for compressed images using HEIC was lower than others. The subjective image quality assessment also confirms the results of objective evaluation. In both educational and clinical diagnostic applications, HEIC compressed images have the highest score.

CONCLUSION

In consideration of objective and subjective evaluation, the HEIC algorithm represents an optimal performance in dermatology images compression compared with JPEG and JPEG2000.